At a Glance
- Tasks: Design and deploy cutting-edge AI solutions while leading a dynamic team.
- Company: Join BIP, a forward-thinking consultancy shaping the future with AI.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a culture that values innovation, collaboration, and personal development.
- Why this job: Make a real impact in AI and mentor the next generation of engineers.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with cloud platforms.
The predicted salary is between 65250 - 79750 £ per year.
BIP is an international consultancy working with leading organisations to deliver transformation, create long-lasting value and shape the future with confidence. We bring together deep industry expertise, innovative thinking and a collaborative approach to help our clients solve complex challenges and achieve sustainable outcomes.
At BIP, our people are at the heart of everything we do. We are committed to creating an inclusive and high-performing culture where individuals are empowered to grow, develop and make an impact from day one. Our values guide how we work, how we collaborate and how we deliver for our clients:
- We Dare to Think and Act Differently
- We Create Long Lasting Value
- We Are Creators of Our Own Future
- Together We Go Further
BIP xTech is BIP’s Centre of Excellence for Artificial Intelligence, Big Data, and Modern Data Platforms. We help organisations design, build, and scale AI solutions that deliver measurable business value and are secure, responsible, and production-ready.
As a Senior AI Engineer, you will design, build, and run production-grade AI solutions, working end-to-end from use case definition through to deployment, monitoring, and continuous improvement. You will combine strong engineering discipline with applied machine learning expertise, ensuring solutions are robust, scalable, and aligned with Responsible AI principles. You will also lead delivery across AI workstreams, mentor engineers, and support business development activities.
Key Responsibilities
- Design, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems.
- Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving).
- Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management.
- Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration.
- Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations.
- Embed monitoring, evaluation, and continuous improvement across AI solutions.
- Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms.
- Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches.
- Build strong relationships with clients and partners, acting as a trusted technical advisor.
Experience & Capability
- 3+ years’ experience delivering AI and ML solutions in production environments.
- Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production.
- Strong Python engineering skills, with a focus on quality, testing, and maintainability.
- Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals.
- Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP).
- Strong understanding of security-by-design, including access control, secrets management, and secure networking.
- Ability to align AI solutions with governance, compliance, and Responsible AI requirements.
- Proven experience leading delivery and coordinating multidisciplinary engineering teams.
Desirable
- Practical experience implementing MLOps and LLMOps practices (CI/CD, automated testing, model lineage, reproducibility).
- Experience with infrastructure automation and platform engineering (e.g. Terraform, Docker, Kubernetes).
- Experience creating reusable engineering assets and accelerators.
- Experience working in regulated environments.
- Relevant certifications (e.g. Azure AI Engineer, Azure Data Scientist, AWS Machine Learning – Specialty).
- Eligibility for, or existing, UK Security Clearance (BPSS/SC/DV).
Working at BIP
- Hybrid working, with regular time in a BIP office and at client sites as required.
- Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence.
- A culture that encourages innovation, collaboration, and ownership.
- Full time
Senior AI Engineer – (Manager) BIP xTech in London employer: Business Integration Partners
BIP is an exceptional employer that prioritises its people, fostering an inclusive and high-performing culture where every individual is empowered to make a meaningful impact from day one. As a Senior AI Engineer at BIP xTech, you will not only work on cutting-edge AI solutions but also benefit from a collaborative environment that encourages innovation and professional growth, ensuring you are at the forefront of technological advancements in a supportive setting. With opportunities for mentorship and leadership, BIP is committed to your development while delivering long-lasting value to clients.
Contact Details:
Business Integration Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer – (Manager) BIP xTech in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Business Integration Partners!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior AI Engineer – (Manager) BIP xTech at Business Integration Partners.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Business Integration Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI Engineer – (Manager) BIP xTech at Business Integration Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior AI Engineer – (Manager) BIP xTech in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Business Integration Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Business Integration Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Business Integration Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Business Integration Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
